Lori R. Arlinghaus

2.4k citations
56 papers · 1.7k indexed · h-index 26
Topics
MRI in cancer diagnosis (34 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Advanced MRI Techniques and Applications (24 papers)

In The Last Decade

Lori R. Arlinghaus

56 papers receiving 1.7k citations

Peers

Lori R. Arlinghaus
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Materials Chemistry 236
  • Cancer Research 186
  • Oncology 178
  • Modeling and Simulation 126
Replace Simon Walker‐Samuel with:
Simon Walker‐Samuel United Kingdom
Anna G. Sorace United States
C. Chad Quarles United States
Ruediger E. Port Germany
Rajiv Ramasawmy United States
John Virostko United States
Eva Sevick United States
Elizabeth Henderson Canada
R K Jain United States
Jürgen Griebel Germany
Lori R. Arlinghaus relative to Simon Walker‐Samuel United Kingdom Simon Walker‐Samuel's profile →
Citations per field
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Simon Walker‐Samuel · 1×
Citations per year

Countries citing papers authored by Lori R. Arlinghaus

Since Specialization
Citations

This map shows the geographic impact of Lori R. Arlinghaus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lori R. Arlinghaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori R. Arlinghaus more than expected).

Fields of papers citing papers by Lori R. Arlinghaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lori R. Arlinghaus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lori R. Arlinghaus. The network helps show where Lori R. Arlinghaus may publish in the future.

Co-authorship network of co-authors of Lori R. Arlinghaus

This figure shows the co-authorship network connecting the top 25 collaborators of Lori R. Arlinghaus. A scholar is included among the top collaborators of Lori R. Arlinghaus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lori R. Arlinghaus. Lori R. Arlinghaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 59
4 9
5 10
6 6
7 18
8 31
9 127
10 40
11 68
12 55
13 63
14 140
15 60
16 54
17 26
18 30
19 36
20 34

About Lori R. Arlinghaus

Lori R. Arlinghaus is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Radiation, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (34 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Advanced MRI Techniques and Applications (24 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Modeling and Simulation (126 citations) and Biophysics (81 citations). Lori R. Arlinghaus has collaborated with scholars based in United States, Russia and Singapore. Frequent co-authors include Thomas E. Yankeelov, Vandana G. Abramson, A. Bapsi Chakravarthy, John C. Gore, Richard G. Abramson, E. Brian Welch, Jaime Farley, Ingrid M. Meszoely, Jared A. Weis and Adrienne N. Dula. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Radiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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